Order Making Fiscal Year 2019 Annual Adjustments to Registration Fee Rates, 44101-44108 [2018-18762]
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Federal Register / Vol. 83, No. 168 / Wednesday, August 29, 2018 / Notices
For the Commission, by the Division of
Trading and Markets, pursuant to delegated
authority.18
Eduardo A. Aleman,
Assistant Secretary.
[FR Doc. 2018–18675 Filed 8–28–18; 8:45 am]
BILLING CODE 8011–01–P
SECURITIES AND EXCHANGE
COMMISSION
[Release Nos. 33–10538; 34–83935/August
24, 2018]
Order Making Fiscal Year 2019 Annual
Adjustments to Registration Fee Rates
I. Background
The Commission collects fees under
various provisions of the securities
laws. Section 6(b) of the Securities Act
of 1933 (‘‘Securities Act’’) requires the
Commission to collect fees from issuers
on the registration of securities.1 Section
13(e) of the Securities Exchange Act of
1934 (‘‘Exchange Act’’) requires the
Commission to collect fees on specified
repurchases of securities.2 Section 14(g)
of the Exchange Act requires the
Commission to collect fees on specified
proxy solicitations and statements in
corporate control transactions.3 These
provisions require the Commission to
make annual adjustments to the
applicable fee rates.
II. Fiscal Year 2019 Annual Adjustment
to Fee Rates
Section 6(b)(2) of the Securities Act
requires the Commission to make an
annual adjustment to the fee rate
applicable under Section 6(b).4 The
annual adjustment to the fee rate under
Section 6(b) of the Securities Act also
sets the annual adjustment to the fee
rates under Sections 13(e) and 14(g) of
the Exchange Act.5
Section 6(b)(2) sets forth the method
for determining the annual adjustment
to the fee rate under Section 6(b) for
fiscal year 2019. Specifically, the
Commission must adjust the fee rate
under Section 6(b) to a ‘‘rate that, when
applied to the baseline estimate of the
aggregate maximum offering prices for
[fiscal year 2019], is reasonably likely to
produce aggregate fee collections under
CFR 200.30–3(a)(12).
U.S.C. 77f(b).
2 15 U.S.C. 78m(e).
3 15 U.S.C. 78n(g).
4 15 U.S.C. 77f(b)(2). The annual adjustments are
designed to adjust the fee rate in a given fiscal year
so that, when applied to the aggregate maximum
offering price at which securities are proposed to
be offered for the fiscal year, it is reasonably likely
to produce total fee collections under Section 6(b)
equal to the ‘‘target fee collection amount’’ specified
in Section 6(b)(6)(A) for that fiscal year.
5 15 U.S.C. 78m(e)(4) and 15 U.S.C. 78n(g)(4).
[Section 6(b)] that are equal to the target
fee collection amount for [fiscal year
2019].’’ That is, the adjusted rate is
determined by dividing the ‘‘target fee
collection amount’’ for fiscal year 2019
by the ‘‘baseline estimate of the
aggregate maximum offering prices’’ for
fiscal year 2019.
Section 6(b)(6)(A) specifies that the
‘‘target fee collection amount’’ for fiscal
year 2019 is $660,000,000. Section
6(b)(6)(B) defines the ‘‘baseline estimate
of the aggregate maximum offering
prices’’ for fiscal year 2019 as ‘‘the
baseline estimate of the aggregate
maximum offering price at which
securities are proposed to be offered
pursuant to registration statements filed
with the Commission during [fiscal year
2019] as determined by the
Commission, after consultation with the
Congressional Budget Office and the
Office of Management and Budget
. . . .’’
To make the baseline estimate of the
aggregate maximum offering price for
fiscal year 2019, the Commission is
using a methodology that has been used
in prior fiscal years and that was
developed in consultation with the
Congressional Budget Office and Office
of Management and Budget.6 Using this
methodology, the Commission
determines the ‘‘baseline estimate of the
aggregate maximum offering price’’ for
fiscal year 2019 to be
$5,447,649,888,566. Based on this
estimate, the Commission calculates the
fee rate for fiscal 2019 to be $121.20 per
million. This adjusted fee rate applies to
Section 6(b) of the Securities Act, as
well as to Sections 13(e) and 14(g) of the
Exchange Act.
III. Effective Dates of the Annual
Adjustments
The fiscal year 2019 annual
adjustments to the fee rates applicable
under Section 6(b) of the Securities Act
and Sections 13(e) and 14(g) of the
Exchange Act will be effective on
October 1, 2018.7
IV. Conclusion
Accordingly, pursuant to Section 6(b)
of the Securities Act and Sections 13(e)
and 14(g) of the Exchange Act,8
18 17
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6 Appendix A explains how we determined the
‘‘baseline estimate of the aggregate maximum
offering price’’ for fiscal year 2019 using our
methodology, and then shows the arithmetical
process of calculating the fiscal year 2019 annual
adjustment based on that estimate. The appendix
includes the data used by the Commission in
making its ‘‘baseline estimate of the aggregate
maximum offering price’’ for fiscal year 2019.
7 15 U.S.C. 77f(b)(4), 15 U.S.C. 78m(e)(6) and 15
U.S.C. 78n(g)(6).
8 15 U.S.C. 77f(b), 78m(e) and 78n(g).
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It is hereby ordered that the fee rates
applicable under Section 6(b) of the
Securities Act and Sections 13(e) and
14(g) of the Exchange Act shall be
$121.20 per million effective on October
1, 2018.
By the Commission.
Brent J. Fields,
Secretary.
Appendix A
Congress has established a target amount of
monies to be collected from fees charged to
issuers based on the value of their
registrations. This appendix provides the
formula for determining such fees, which the
Commission adjusts annually. Congress has
mandated that the Commission determine
these fees based on the ‘‘aggregate maximum
offering prices,’’ which measures the
aggregate dollar amount of securities
registered with the Commission over the
course of the year. In order to maximize the
likelihood that the amount of monies targeted
by Congress will be collected, the fee rate
must be set to reflect projected aggregate
maximum offering prices. As a percentage,
the fee rate equals the ratio of the target
amounts of monies to the projected aggregate
maximum offering prices.
For 2019, the Commission has estimated
the aggregate maximum offering prices by
projecting forward the trend established in
the previous decade. More specifically, an
ARIMA model was used to forecast the value
of the aggregate maximum offering prices for
months subsequent to July 2018, the last
month for which the Commission has data on
the aggregate maximum offering prices.
The following sections describe this
process in detail.
A. Baseline estimate of the aggregate
maximum offering prices for fiscal year
2019.
First, calculate the aggregate maximum
offering prices (AMOP) for each month in the
sample (July 2008–July 2018). Next, calculate
the percentage change in the AMOP from
month to month.
Model the monthly percentage change in
AMOP as a first order moving average
process. The moving average approach
allows one to model the effect that an
exceptionally high (or low) observation of
AMOP tends to be followed by a more
‘‘typical’’ value of AMOP.
Use the estimated moving average model to
forecast the monthly percent change in
AMOP. These percent changes can then be
applied to obtain forecasts of the total dollar
value of registrations. The following is a
more formal (mathematical) description of
the procedure:
1. Begin with the monthly data for AMOP.
The sample spans ten years, from July 2008
to July 2018.
2. Divide each month’s AMOP (column C)
by the number of trading days in that month
(column B) to obtain the average daily AMOP
(AAMOP, column D).
3. For each month t, the natural logarithm
of AAMOP is reported in column E.
4. Calculate the change in log(AAMOP)
from the previous month as Dt = log
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(AAMOPt)¥log(AAMOPt¥1). This
approximates the percentage change.
5. Estimate the first order moving average
model Dt = a + bet¥1 + et, where et denotes
the forecast error for month t. The forecast
error is simply the difference between the
one-month ahead forecast and the actual
realization of Dt. The forecast error is
expressed as et = Dt¥a¥bet¥1. The model
can be estimated using standard
commercially available software. Using least
squares, the estimated parameter values are
a = 0.00446718 and b = 0.94291195.
6. For the month of August 2018 forecast
Dt = 8/2017 = a + bet = 7/2017. For all subsequent
months, forecast Dt = a.
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7. Calculate forecasts of log(AAMOP). For
example, the forecast of log(AAMOP) for
October 2018 is given by FLAAMOP t = 10/2018
= log(AAMOP t = 7/2018) + D t = 8/2018 +D t =
9/2018 + D t = 10/2018.
8. Under the assumption that et is normally
distributed, the n-step ahead forecast of
AAMOP is given by exp(FLAAMOPt + sn2/2),
where sn denotes the standard error of the nstep ahead forecast.
9. For October 2018, this gives a forecast
AAMOP of $21.070 billion (Column I), and
a forecast AMOP of $484.618 billion (Column
J).
10. Iterate this process through September
2019 to obtain a baseline estimate of the
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aggregate maximum offering prices for fiscal
year 2019 of $5,447,649,888,566.
B. Using the Forecasts From A To Calculate
the New Fee Rate
1. Using the data from Table A, estimate
the aggregate maximum offering prices
between 10/01/18 and 9/30/19 to be
$5,447,649,888,566.
2. The rate necessary to collect the target
$660,000,000 in fee revenues set by Congress
is then calculated as: $660,000,000 ÷
$5,447,649,888,566 = 0.000121153.
3. Round the result to the seventh decimal
point, yielding a rate of 0.0001212 (or
$121.20 per million).
BILLING CODE 8011–01–P
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(C)
Aggregate
Maximum
Offering Prices,
in $Millions
(D)
Average Daily
Aggregate Max.
Offering Prices
(AAMOP) in $Millions
(E)
log(AAMOP)
Jul-08
22
232,896
10,586
23.083
Aug-08
21
395,440
18,830
23.659
0.576
Sep-08
21
177,636
8,459
22.858
-0.800
Oct-08
23
360,494
15,674
23.475
0.617
Nov-08
19
288,911
15,206
23.445
-0.030
Dec-08
22
319,584
14,527
23.399
-0.046
Jan-09
20
375,065
18,753
23.655
0.255
Feb-09
19
249,666
13,140
23.299
-0.356
Mar-09
22
739,931
33,633
24.239
0.940
Apr-09
21
235,914
11,234
23.142
-1.097
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May-09
20
329,522
16,476
23.525
0.383
Jun-09
22
357,524
16,251
23.511
-0.014
Jul-09
22
185,187
8,418
22.854
-0.658
Aug-09
21
192,726
9,177
22.940
0.086
Sep-09
21
189,224
9,011
22.922
-0.018
Oct-09
22
215,720
9,805
23.006
0.085
Nov-09
20
248,353
12,418
23.242
0.236
Dec-09
22
340,464
15,476
23.463
0.220
Jan-1 0
19
173,235
9,118
22.933
-0.529
Feb-10
19
209,963
11,051
23.126
0.192
29AUN1
Mar-10
23
432,934
18,823
23.658
0.533
Apr-1 0
21
280,188
13,342
23.314
-0.344
0.043
20
278,611
13,931
23.357
22
364,251
16,557
23.530
0.173
Jul-10
21
171,191
8,152
22.822
-0.709
Aug-10
22
240,793
10,945
23.116
0.295
Sep-10
21
260,783
12,418
23.242
0.126
Oct-10
21
214,988
10,238
23.049
-0.193
Nov-10
21
340,112
16,196
23.508
0.459
23.329
-0.179
22
297,992
13,545
(G)
Forecast
log(AAMOP)
(H)
Standard
Error
(I)
Forecast
AAMOP, in
$Millions
(J)
Forecast Aggregate
Maximum Offering Prices, in
$Millions
44103
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Dec-10
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(F)
Log
(Change in
AAMOP)
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(B)
#of Trading
Days in
Month
(A)
Month
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(B)
#of Trading
Days in
Month
(C)
Aggregate
Maximum
Offering Prices,
in $Millions
(D)
Average Daily
Aggregate Max.
Offering Prices
(AAMOP) in $Millions
(E)
log(AAMOP)
(F)
Log
(Change in
AAMOP)
Jan-11
20
233,668
11,683
23.181
-0.148
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Feb-11
19
252,785
13,304
23.311
0.130
Mar-11
23
595,198
25,878
23.977
0.665
Apr-11
20
236,355
11,818
23.193
-0.784
May-11
21
319,053
15,193
23.444
0.251
Jun-11
22
359,727
16,351
23.518
0.073
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Jul-11
20
215,391
10,770
23.100
-0.418
Aug-11
23
179,870
7,820
22.780
-0.320
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Sep-11
21
168,005
8,000
22.803
0.023
Oct-11
21
181,452
8,641
22.880
0.077
Nov-11
21
256,418
12,210
23.226
0.346
Dec-11
21
237,652
11,317
23.150
-0.076
Jan-12
20
276,965
13,848
23.351
0.202
Feb-12
20
228,419
11,421
23.159
-0.193
Mar-12
22
430,806
19,582
23.698
0.539
-0.813
Apr-12
20
173,626
8,681
22.884
May-12
22
414,122
18,824
23.658
0.774
Jun-12
21
272,218
12,963
23.285
-0.373
Jul-12
21
170,462
8,117
22.817
-0.468
Aug-12
23
295,472
12,847
23.276
0.459
29AUN1
Sep-12
19
331,295
17,437
23.582
0.305
Oct-12
21
137,562
6,551
22.603
-0.979
Nov-12
21
221,521
10,549
23.079
0.476
Dec-12
20
321,602
16,080
23.501
0.422
Jan-13
21
368,488
17,547
23.588
0.087
Feb-13
19
252,148
13,271
23.309
-0.279
Mar-13
20
533,440
26,672
24.007
0.698
Apr-13
22
235,779
10,717
23.095
-0.912
May-13
22
382,950
17,407
23.580
0.485
Jun-13
20
480,624
24,031
23.903
0.322
(G)
Forecast
log(AAMOP)
(H)
Standard
Error
(I)
Forecast
AAMOP, in
$Millions
(J)
Forecast Aggregate
Maximum Offering Prices, in
$Millions
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(A)
Month
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(C)
Aggregate
Maximum
Offering Prices,
in $Millions
(D)
Average Daily
Aggregate Max.
Offering Prices
(AAMOP) in $Millions
(E)
log(AAMOP)
(F)
Log
(Change in
AAMOP)
Jul-13
22
263,869
11,994
23.208
-0.695
Aug-13
22
253,305
11,514
23.167
-0.041
Sep-13
20
267,923
13,396
23.318
0.151
Oct-13
23
293,847
12,776
23.271
-0.047
Nov-13
20
326,257
16,313
23.515
0.244
Dec-13
21
358,169
17,056
23.560
0.045
Jan-14
21
369,067
17,575
23.590
0.030
Feb-14
19
298,376
15,704
23.477
-0.113
Mar-14
21
564,840
26,897
24.015
0.538
Apr-14
21
263,401
12,543
23.252
-0.763
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May-14
21
403,700
19,224
23.679
0.427
Jun-14
21
423,075
20,146
23.726
0.047
Jul-14
22
373,811
16,991
23.556
-0.170
Aug-14
21
405,017
19,287
23.683
0.127
Sep-14
21
409,349
19,493
23.693
0.011
Oct-14
23
338,832
14,732
23.413
-0.280
Nov-14
19
386,898
20,363
23.737
0.324
Dec-14
22
370,760
16,853
23.548
-0.189
Jan-15
20
394,127
19,706
23.704
0.156
Feb-15
19
466,138
24,534
23.923
0.219
29AUN1
Mar-15
22
753,747
34,261
24.257
0.334
Apr-15
21
356,560
16,979
23.555
-0.702
20
478,591
23,930
23.898
0.343
22
446,102
20,277
23.733
-0.166
Jul-15
22
402,062
18,276
23.629
-0.104
Aug-15
21
334,746
15,940
23.492
-0.137
Sep-15
21
289,872
13,803
23.348
-0.144
Oct-15
22
300,276
13,649
23.337
-0.011
Nov-15
20
409,690
20,485
23.743
0.406
23.364
-0.379
Dec-15
EN29AU18.008
22
308,569
14,026
(H)
Standard
Error
(I)
Forecast
AAMOP, in
$Millions
(J)
Forecast Aggregate
Maximum Offering Prices, in
$Millions
44105
Mav-15
Jun-15
(G)
Forecast
log(AAMOP)
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#of Trading
Days in
Month
(A)
Month
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(B)
#of Trading
Days in
Month
(C)
Aggregate
Maximum
Offering Prices,
in $Millions
(D)
Average Daily
Aggregate Max.
Offering Prices
(AAMOP) in $Millions
(E)
log(AAMOP)
(F)
Log
(Change in
AAMOP)
Jan-16
19
457,411
24,074
23.904
0.540
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Feb-16
20
554,343
27,717
24.045
0.141
Mar-16
22
900,301
40,923
24.435
0.390
Apr-16
21
250,716
11,939
23.203
-1.232
May-16
21
409,992
19,523
23.695
0.492
Jun-16
22
321,219
14,601
23.404
-0.291
Frm 00092
Jul-16
20
289,671
14,484
23.396
-0.008
Aug-16
23
352,068
15,307
23.452
0.055
Fmt 4703
Sep-16
21
326,116
15,529
23.466
0.014
Oct-16
21
266,115
12,672
23.263
-0.203
Nov-16
21
443,034
21,097
23.772
0.510
Dec-16
21
310,614
14,791
23.417
-0.355
Jan-17
20
503,030
25,152
23.948
0.531
Sfmt 4725
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Feb-17
19
255,815
13,464
23.323
-0.625
Mar-17
23
723,870
31,473
24.172
0.849
-0.851
Apr-17
19
255,275
13,436
23.321
May-17
22
569,965
25,908
23.978
0.657
Jun-17
22
445,081
20,231
23.730
-0.247
Jul-17
20
291,167
14,558
23.401
-0.329
Aug-17
23
263,981
11,477
23.164
-0.238
29AUN1
Sep-17
20
372,705
18,635
23.648
0.485
Oct-17
22
173,749
7,898
22.790
-0.858
Nov-17
21
377,262
17,965
23.612
0.822
Dec-17
20
281,126
14,056
23.366
-0.245
Jan-18
21
593,025
28,239
24.064
0.698
Feb-18
19
353,182
18,589
23.646
-0.418
Mar-18
21
685,784
32,656
24.209
0.563
Apr-18
21
367,569
17,503
23.586
-0.624
May-18
22
543,840
24,720
23.931
0.345
Jun-18
21
477,967
22,760
23.848
-0.083
(G)
Forecast
log(AAMOP)
(H)
Standard
Error
(I)
Forecast
AAMOP, in
$Millions
(J)
Forecast Aggregate
Maximum Offering Prices, in
$Millions
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(A)
Month
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(C)
Aggregate
Maximum
Offering Prices,
in $Millions
(D)
Average Daily
Aggregate Max.
Offering Prices
(AAMOP) in $Millions
(E)
log(AAMOP)
(F)
Log
(Change in
AAMOP)
Jul-18
21
327,710
15,605
23.471
-0.377
Aur:~-18
23
23.706
0.334
20,875
480,133
Sep-18
19
23.711
0.334
20,973
398,480
Oct-18
23
23.715
0.335
21,070
484,618
Nov-18
21
23.719
0.336
21,169
444,539
Dec-18
20
23.724
0.336
21,267
425,343
Jan-1 9
21
23.728
0.337
21,366
448,691
Feb-19
19
23.733
0.337
21 ,466
407,851
Mar-19
21
23.737
0.338
21,566
452,883
(G)
Forecast
log(AAMOP)
(H)
Standard
Error
(I)
Forecast
AAMOP, in
$Millions
(J)
Forecast Aggregate
Maximum Offering Prices, in
$Millions
Apr-1 9
21
23.742
0.338
21,666
454,993
May-19
22
23.746
0.339
21,767
478,880
29AUN1
Jun-1 9
20
23.751
0.339
21,869
437,374
Jul-19
22
23.755
0.340
21,971
483,354
Aur:~-19
22
23.760
0.340
22,073
485,606
Sep-19
20
23.764
0.341
22,176
443,517
Federal Register / Vol. 83, No. 168 / Wednesday, August 29, 2018 / Notices
17:04 Aug 28, 2018
(B)
#of Trading
Days in
Month
(A)
Month
44107
EN29AU18.010
Federal Register / Vol. 83, No. 168 / Wednesday, August 29, 2018 / Notices
[FR Doc. 2018–18762 Filed 8–28–18; 8:45 am]
BILLING CODE 8011–01–C
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Agencies
[Federal Register Volume 83, Number 168 (Wednesday, August 29, 2018)]
[Notices]
[Pages 44101-44108]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2018-18762]
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SECURITIES AND EXCHANGE COMMISSION
[Release Nos. 33-10538; 34-83935/August 24, 2018]
Order Making Fiscal Year 2019 Annual Adjustments to Registration
Fee Rates
I. Background
The Commission collects fees under various provisions of the
securities laws. Section 6(b) of the Securities Act of 1933
(``Securities Act'') requires the Commission to collect fees from
issuers on the registration of securities.\1\ Section 13(e) of the
Securities Exchange Act of 1934 (``Exchange Act'') requires the
Commission to collect fees on specified repurchases of securities.\2\
Section 14(g) of the Exchange Act requires the Commission to collect
fees on specified proxy solicitations and statements in corporate
control transactions.\3\ These provisions require the Commission to
make annual adjustments to the applicable fee rates.
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\1\ 15 U.S.C. 77f(b).
\2\ 15 U.S.C. 78m(e).
\3\ 15 U.S.C. 78n(g).
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II. Fiscal Year 2019 Annual Adjustment to Fee Rates
Section 6(b)(2) of the Securities Act requires the Commission to
make an annual adjustment to the fee rate applicable under Section
6(b).\4\ The annual adjustment to the fee rate under Section 6(b) of
the Securities Act also sets the annual adjustment to the fee rates
under Sections 13(e) and 14(g) of the Exchange Act.\5\
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\4\ 15 U.S.C. 77f(b)(2). The annual adjustments are designed to
adjust the fee rate in a given fiscal year so that, when applied to
the aggregate maximum offering price at which securities are
proposed to be offered for the fiscal year, it is reasonably likely
to produce total fee collections under Section 6(b) equal to the
``target fee collection amount'' specified in Section 6(b)(6)(A) for
that fiscal year.
\5\ 15 U.S.C. 78m(e)(4) and 15 U.S.C. 78n(g)(4).
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Section 6(b)(2) sets forth the method for determining the annual
adjustment to the fee rate under Section 6(b) for fiscal year 2019.
Specifically, the Commission must adjust the fee rate under Section
6(b) to a ``rate that, when applied to the baseline estimate of the
aggregate maximum offering prices for [fiscal year 2019], is reasonably
likely to produce aggregate fee collections under [Section 6(b)] that
are equal to the target fee collection amount for [fiscal year 2019].''
That is, the adjusted rate is determined by dividing the ``target fee
collection amount'' for fiscal year 2019 by the ``baseline estimate of
the aggregate maximum offering prices'' for fiscal year 2019.
Section 6(b)(6)(A) specifies that the ``target fee collection
amount'' for fiscal year 2019 is $660,000,000. Section 6(b)(6)(B)
defines the ``baseline estimate of the aggregate maximum offering
prices'' for fiscal year 2019 as ``the baseline estimate of the
aggregate maximum offering price at which securities are proposed to be
offered pursuant to registration statements filed with the Commission
during [fiscal year 2019] as determined by the Commission, after
consultation with the Congressional Budget Office and the Office of
Management and Budget . . . .''
To make the baseline estimate of the aggregate maximum offering
price for fiscal year 2019, the Commission is using a methodology that
has been used in prior fiscal years and that was developed in
consultation with the Congressional Budget Office and Office of
Management and Budget.\6\ Using this methodology, the Commission
determines the ``baseline estimate of the aggregate maximum offering
price'' for fiscal year 2019 to be $5,447,649,888,566. Based on this
estimate, the Commission calculates the fee rate for fiscal 2019 to be
$121.20 per million. This adjusted fee rate applies to Section 6(b) of
the Securities Act, as well as to Sections 13(e) and 14(g) of the
Exchange Act.
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\6\ Appendix A explains how we determined the ``baseline
estimate of the aggregate maximum offering price'' for fiscal year
2019 using our methodology, and then shows the arithmetical process
of calculating the fiscal year 2019 annual adjustment based on that
estimate. The appendix includes the data used by the Commission in
making its ``baseline estimate of the aggregate maximum offering
price'' for fiscal year 2019.
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III. Effective Dates of the Annual Adjustments
The fiscal year 2019 annual adjustments to the fee rates applicable
under Section 6(b) of the Securities Act and Sections 13(e) and 14(g)
of the Exchange Act will be effective on October 1, 2018.\7\
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\7\ 15 U.S.C. 77f(b)(4), 15 U.S.C. 78m(e)(6) and 15 U.S.C.
78n(g)(6).
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IV. Conclusion
Accordingly, pursuant to Section 6(b) of the Securities Act and
Sections 13(e) and 14(g) of the Exchange Act,\8\
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\8\ 15 U.S.C. 77f(b), 78m(e) and 78n(g).
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It is hereby ordered that the fee rates applicable under Section
6(b) of the Securities Act and Sections 13(e) and 14(g) of the Exchange
Act shall be $121.20 per million effective on October 1, 2018.
By the Commission.
Brent J. Fields,
Secretary.
Appendix A
Congress has established a target amount of monies to be
collected from fees charged to issuers based on the value of their
registrations. This appendix provides the formula for determining
such fees, which the Commission adjusts annually. Congress has
mandated that the Commission determine these fees based on the
``aggregate maximum offering prices,'' which measures the aggregate
dollar amount of securities registered with the Commission over the
course of the year. In order to maximize the likelihood that the
amount of monies targeted by Congress will be collected, the fee
rate must be set to reflect projected aggregate maximum offering
prices. As a percentage, the fee rate equals the ratio of the target
amounts of monies to the projected aggregate maximum offering
prices.
For 2019, the Commission has estimated the aggregate maximum
offering prices by projecting forward the trend established in the
previous decade. More specifically, an ARIMA model was used to
forecast the value of the aggregate maximum offering prices for
months subsequent to July 2018, the last month for which the
Commission has data on the aggregate maximum offering prices.
The following sections describe this process in detail.
A. Baseline estimate of the aggregate maximum offering prices for
fiscal year 2019.
First, calculate the aggregate maximum offering prices (AMOP)
for each month in the sample (July 2008-July 2018). Next, calculate
the percentage change in the AMOP from month to month.
Model the monthly percentage change in AMOP as a first order
moving average process. The moving average approach allows one to
model the effect that an exceptionally high (or low) observation of
AMOP tends to be followed by a more ``typical'' value of AMOP.
Use the estimated moving average model to forecast the monthly
percent change in AMOP. These percent changes can then be applied to
obtain forecasts of the total dollar value of registrations. The
following is a more formal (mathematical) description of the
procedure:
1. Begin with the monthly data for AMOP. The sample spans ten
years, from July 2008 to July 2018.
2. Divide each month's AMOP (column C) by the number of trading
days in that month (column B) to obtain the average daily AMOP
(AAMOP, column D).
3. For each month t, the natural logarithm of AAMOP is reported
in column E.
4. Calculate the change in log(AAMOP) from the previous month as
[Delta]t = log
[[Page 44102]]
(AAMOPt)-log(AAMOPt-1). This approximates the
percentage change.
5. Estimate the first order moving average model
[Delta]t = [alpha] + [beta]et-1 +
et, where et denotes the forecast error for
month t. The forecast error is simply the difference between the
one-month ahead forecast and the actual realization of
[Delta]t. The forecast error is expressed as
et = [Delta]t-[alpha]-[beta]et-1.
The model can be estimated using standard commercially available
software. Using least squares, the estimated parameter values are
[alpha] = 0.00446718 and [beta] = 0.94291195.
6. For the month of August 2018 forecast
[Delta]t = 8/2017 = [alpha] +
[beta]et = 7/2017. For all subsequent months, forecast
[Delta]t = [alpha].
7. Calculate forecasts of log(AAMOP). For example, the forecast
of log(AAMOP) for October 2018 is given by FLAAMOP
t = 10/2018 = log(AAMOP t = 7/2018) + [Delta]
t = 8/2018 +[Delta] t = 9/2018 + [Delta]
t = 10/2018.
8. Under the assumption that et is normally
distributed, the n-step ahead forecast of AAMOP is given by
exp(FLAAMOPt + [sigma]n\2\/2), where
[sigma]n denotes the standard error of the n-step ahead
forecast.
9. For October 2018, this gives a forecast AAMOP of $21.070
billion (Column I), and a forecast AMOP of $484.618 billion (Column
J).
10. Iterate this process through September 2019 to obtain a
baseline estimate of the aggregate maximum offering prices for
fiscal year 2019 of $5,447,649,888,566.
B. Using the Forecasts From A To Calculate the New Fee Rate
1. Using the data from Table A, estimate the aggregate maximum
offering prices between 10/01/18 and 9/30/19 to be
$5,447,649,888,566.
2. The rate necessary to collect the target $660,000,000 in fee
revenues set by Congress is then calculated as: $660,000,000 /
$5,447,649,888,566 = 0.000121153.
3. Round the result to the seventh decimal point, yielding a
rate of 0.0001212 (or $121.20 per million).
BILLING CODE 8011-01-P
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[FR Doc. 2018-18762 Filed 8-28-18; 8:45 am]
BILLING CODE 8011-01-C